Actuarium

SOA PAPredictive Analytics

Associateship (ASA)
3.5 hours (plus 15-minute read)·One case study, multi-part written response·200 study hours
Score 0/0 · 5 MC
  1. PA · Q1
    Multiple choice
    Validation & business communication

    A model's training RMSE is 120 and test RMSE is 210; a simpler model has training RMSE 150 and test RMSE 160. Which should be recommended and why?

  2. PA · Q2
    Multiple choice
    Validation & business communication

    A binary classifier assigns scores 0.9, 0.8, 0.4 to the three actual positives and 0.7, 0.3, 0.2 to the three actual negatives in a test set. Calculate the AUC using the rank/concordance interpretation.

  3. PA · Q3
    Written answer
    Validation & business communication

    Draft the key points of an executive summary explaining to a non-technical Chief Underwriting Officer why you recommend a gradient-boosted tree model over a GLM for a new pricing model, including its limitations.

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